




'''simple docstring'''

from multiprocessing import Lock, Pipe, Process

# lock used to ensure that two processes do not access a pipe at the same time
a       :						Optional[Any]								=		Lock()


def __UpperCAmelCase	(   _UpperCAmelCase		:   List[Any]		,				_UpperCAmelCase		:   List[Any]		,				_UpperCAmelCase		:   List[str]		,				_UpperCAmelCase		:   Any		,				_UpperCAmelCase		:   List[str]		,				_UpperCAmelCase		:   Union[str, Any]		,				_UpperCAmelCase		:   Optional[int]						)      ->      Tuple:
			global process_lock

			# we perform n swaps since after n swaps we know we are sorted
			# we *could* stop early if we are sorted already, but it takes as long to
			# find out we are sorted as it does to sort the list with this algorithm
			for i in range(0		,				10						):
						if (i + position) % 2 == 0 and r_send is not None:
									# send your value to your right neighbor
									process_lock.acquire()
									r_send[1].send(_UpperCAmelCase						)
									process_lock.release()

									# receive your right neighbor's value
									process_lock.acquire()
									__snake_case			=		rr_cv[0].recv()
									process_lock.release()

									# take the lower value since you are on the left
									__snake_case			=		min(_UpperCAmelCase		,				_UpperCAmelCase						)
						elif (i + position) % 2 != 0 and l_send is not None:
									# send your value to your left neighbor
									process_lock.acquire()
									l_send[1].send(_UpperCAmelCase						)
									process_lock.release()

									# receive your left neighbor's value
									process_lock.acquire()
									__snake_case			=		lr_cv[0].recv()
									process_lock.release()

									# take the higher value since you are on the right
									__snake_case			=		max(_UpperCAmelCase		,				_UpperCAmelCase						)
    # after all swaps are performed, send the values back to main
			result_pipe[1].send(_UpperCAmelCase						)


def __UpperCAmelCase	(   _UpperCAmelCase		:   Optional[int]						)      ->      str:
			__snake_case			=		[]
			__snake_case			=		[]
			# initialize the list of pipes where the values will be retrieved
			for _ in arr:
						result_pipe.append(Pipe()						)
			# creates the processes
			# the first and last process only have one neighbor so they are made outside
			# of the loop
			__snake_case			=		Pipe()
			__snake_case			=		Pipe()
			process_array_.append(
			    Process(
			        target=_UpperCAmelCase		,				args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])		,				)						)
			__snake_case			=		temp_rs
			__snake_case			=		temp_rr

			for i in range(1		,				len(_UpperCAmelCase						) - 1						):
						__snake_case			=		Pipe()
						__snake_case			=		Pipe()
						process_array_.append(
						    Process(
						        target=_UpperCAmelCase		,				args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i])		,				)						)
						__snake_case			=		temp_rs
						__snake_case			=		temp_rr

			process_array_.append(
			    Process(
			        target=_UpperCAmelCase		,				args=(
			            len(_UpperCAmelCase						) - 1,
			            arr[len(_UpperCAmelCase						) - 1],
			            temp_ls,
			            None,
			            temp_lr,
			            None,
			            result_pipe[len(_UpperCAmelCase						) - 1],
			        )		,				)						)

			# start the processes
			for p in process_array_:
						p.start()

			# wait for the processes to end and write their values to the list
			for p in range(0		,				len(_UpperCAmelCase						)						):
						__snake_case			=		result_pipe[p][0].recv()
						process_array_[p].join()
			return arr


def __UpperCAmelCase	(   )      ->      List[Any]:
			__snake_case			=		list(range(10		,				0		,				-1						)						)
			print("Initial List"						)
			print(*_UpperCAmelCase						)
			__snake_case			=		odd_even_transposition(_UpperCAmelCase						)
			print("Sorted List\n"						)
			print(*_UpperCAmelCase						)


if __name__ == "__main__":
						main()







"""simple docstring"""


import warnings

from ...utils import logging
from .image_processing_yolos import YolosImageProcessor


SCREAMING_SNAKE_CASE			  =  logging.get_logger(__name__)



class 	__a	(   _lowerCAmelCase						):






       def __init__(	self			:				str							,   *UpperCAmelCase_			:				str							,   **UpperCAmelCase_			:				Any      )->	None:







              """simple docstring"""
              warnings.warn(
                  "The class YolosFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
                  " use YolosImageProcessor instead."							,   UpperCAmelCase_							,   )
              super().__init__(*UpperCAmelCase_							,   **UpperCAmelCase_      )





